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10.1007/s10676-020-09567-7 http://scihub22266oqcxt.onion/10.1007/s10676-020-09567-7 33584129!7871022!33584129     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ethics+Inf+Technol 2021 ; 23 (Suppl 1): 127-133 Nephropedia Template TP {{tp|p=33584129|t=2021. The CLAIRE COVID-19 initiative: approach, experiences and recommendations |pdf=|usr=}}{{33584129}} gab.com Text The CLAIRE COVID-19 initiative: approach, experiences and recommendations JO: Ethics Inf Technol http://www.kidney.de/pget.php?&tw=1&pmid=33584129 #FOAvip A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises. Twit Text FOAVip The CLAIRE COVID-19 initiative: approach, experiences and recommendations ????Ethics Inf Technol http://www.kidney.de/pget.php?&tw=1&pmid=33584129 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33584129 #FOAvip English Wikipedia <ref>{{Cite pmid|33584129}}</ref> The CLAIRE COVID-19 initiative: approach, experiences and recommendations #MMPMID33584129 Bontempi G; Chavarriaga R; eD Canck H; Girardi E; Hoos H; Kilbane-Dawe I; Ball T; Nowe A; Sousa J; Bacciu D; Aldinucci M; eD Domenico M; Saffiotti A; Maratea M Ethics Inf Technol 2021[]; 23 (Suppl 1): 127-133 PMID33584129show ga A volunteer effort by Artificial Intelligence (AI) researchers has shown it can deliver significant research outcomes rapidly to help tackle COVID-19. Within two months, CLAIRE's self-organising volunteers delivered the World's first comprehensive curated repository of COVID-19-related datasets useful for drug-repurposing, drafted review papers on the role CT/X-ray scan analysis and robotics could play, and progressed research in other areas. Given the pace required and nature of voluntary efforts, the teams faced a number of challenges. These offer insights in how better to prepare for future volunteer scientific efforts and large scale, data-dependent AI collaborations in general. We offer seven recommendations on how to best leverage such efforts and collaborations in the context of managing future crises. äThe CLAIRE COVID-19 initiative: approach, experiences and recommendati(epmc).pdf DeepDyve Pubget Overpricing